Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/athola/claude-night-marketnpx agentmods add skills/athola/claude-night-market/minimax-delegationWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/athola/claude-night-market/minimax-delegation)<a href="https://agentmods.dev/skills/athola/claude-night-market/minimax-delegation"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/minimax-delegation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/athola/claude-night-market/minimax-delegation"><img src="https://agentmods.dev/badge/skills/athola/claude-night-market/minimax-delegation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Excessive Agency · line 126 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.01277 |
| Opus 5 | $0.00018 | $0.00639 |
| Sonnet 5 | $0.00007 | $0.00255 |
| Haiku 4.5 | $0.00004 | $0.00128 |
Grade A, and why
minimax-delegation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Table of Contents
MiniMax CLI Delegation
Overview
This skill implements conjure:delegation-core for the official MiniMax
CLI, mmx. It provides MiniMax-specific authentication, quota
management, and command construction.
For shared delegation patterns, see Skill(conjure:delegation-core).
When To Use
- After
Skill(conjure:delegation-core)determines MiniMax is suitable - When you need MiniMax-M3's large context window (1M tokens)
- For batch processing, summarization, or multi-file analysis
- If the
mmxCLI is installed and authenticated
When NOT To Use
- Choosing which provider to delegate to (use
conjure:delegation-core) - Another provider was selected (use that provider's delegation skill)
Prerequisites
Installation:
Install the official CLI, published as mmx-cli and maintained by
MiniMax at https://github.com/MiniMax-AI/cli. It requires Node.js 18
or later and installs a binary named mmx.
npm install -g mmx-cli
mmx --version
Install mmx-cli by that exact name. Unrelated third-party packages
publish a binary called minimax, and this skill never invokes that
name.
Authentication:
Credentials are managed by the CLI, not by an environment variable.
mmx stores them in ~/.mmx/config.json.
mmx auth login # interactive: OAuth or an API key
mmx auth login --api-key sk-xxxxx # non-interactive, for CI
mmx auth status # canonical readiness check
mmx auth status is what delegation_executor.py --verify runs. A
successful mmx --version alone does not mean the CLI is authenticated.
Regions: MiniMax serves a global region (api.minimax.io) and a
mainland China region (api.minimaxi.com). API keys are issued per
region and are not interchangeable. API-key login detects the matching
region by probing both, so no manual base URL is normally needed. Set
the region explicitly with mmx config set --key region --value cn or
the MINIMAX_REGION environment variable.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 169 lines · 37 tokens per session scan A aadd7be705d0
minimax-delegation is a skill published in the GitHub repository athola/claude-night-market (337 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 1,277 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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